Author

K. Shiku

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Preprint Sep 2026

Preserving DEG Rankings for Gene Discovery in Histology-Based Spatial Gene Expression Prediction

Predicting spatial gene expression from histology images could scale spatial transcriptomics (ST) to image-only cohorts, but conventional histology-based ST prediction is trained and evaluated mainly by per-gene spatial-profile reconstruction. This objective is misaligned with a key downstream use of ST: differentially...

Kaito Shiku, Kazuya Nishimura, Yasuhiro Kojima et al. · 0 citations

Open access 2026

Ord-NLL: Negative Label Learning for Ordinal Noisy Labels

Experiments on two multi-expert ulcerative colitis endoscopic-image datasets under two ordinal-noise models show that Ord-NLL is competitive with or superior to strong baselines while reducing mean absolute error, and that Ord-NLL+ often yields further gains.

Shumpei Takezaki, K. Shiku, S. Harada et al. · IEEE Access · 0 citations